Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 6 de 6
Filter
Add more filters










Database
Language
Publication year range
1.
Lipids Health Dis ; 23(1): 195, 2024 Jun 24.
Article in English | MEDLINE | ID: mdl-38915087

ABSTRACT

BACKGROUND: Uric acid (UA), a liver-derived metabolite, is intimately tied to metabolic disorders. Although ample research underscores its connection with hypertriglyceridemia (HTG), studies focusing on adolescents remain limited. To fill the gaps in epidemiology,this study focused on analyzing the relationship between the levels of uric acid and HTG in a demographic sample comprising adolescents from the United States. METHODS: In this study, a total of 4,435 participants through the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2020. The exposure variable was serum uric acid (SUA), the effect variable was HTG, and the covariates included demographic, questionnaire, physical examination and laboratory indicators. We utilized weighted logistic regression and meticulous subgroup evaluations to discern the intrinsic link between SUA and HTG. Stratified analyses augmented the validation of this association, while smooth curve fitting probed for potential nonlinear correlations. RESULTS: The study included 4,435 participants. Male adolescents exhibit elevated SUA levels. After adjusting for all variables, the weighted multiple logistic regression model revealed that SUA was positively correlated with HTG risk (OR = 1.006, 95% CI: 1.005-1.007). This relationship was consistent across the three tertiles group of SUA (T1: OR = 1.006 [95% CI: 1.005-1.007]; T2: OR = 1.006 [95% CI: 1.005-1.007]; T3: OR = 1.004 [95% CI: 1.003-1.006]; P for trend < 0.001). Stratified analyses confirmed that the positive correlation between SUA and HTG risk was significant, irrespective of sex, age or race. CONCLUSIONS: In American children and adolescents aged 12 to 18 years, there was a pronounced association between SUA and HTG. SUA could serve as a risk indicator for HTG. It is recommended that children diagnosed with HTG should be regularly tested for SUA levels. In addition, it is recommended that SUA be included in the comprehensive care of children diagnosed with HTG.


Subject(s)
Hypertriglyceridemia , Nutrition Surveys , Uric Acid , Humans , Uric Acid/blood , Adolescent , Hypertriglyceridemia/blood , Hypertriglyceridemia/epidemiology , Male , Female , Child , Cross-Sectional Studies , Logistic Models , Risk Factors , United States/epidemiology , Triglycerides/blood
2.
West J Nurs Res ; 46(2): 125-132, 2024 02.
Article in English | MEDLINE | ID: mdl-38112109

ABSTRACT

This study applied a cross-sectional design to examine the relationship between self-management, psychological well-being, and quality of life in patients with hypertension and evaluated the mediation effect of psychological well-being on self-management and quality of life. Through purposive sampling, this study enrolled 255 patients with hypertension from the cardiology department of a teaching hospital in Taiwan. Mediation effects were estimated using linear regression and the Sobel test. Age, number of chronic diseases, waist circumference, self-management, and psychological well-being explained 18.7% of the total variance in quality of life. Psychological well-being partially mediated the effects of self-management on quality of life, with a total effect of 19.2%. Psychological well-being is an important factor correlated with self-management and quality of life in patients with hypertension.


Subject(s)
Hypertension , Self-Management , Humans , Quality of Life , Psychological Well-Being , Cross-Sectional Studies , Hypertension/therapy
3.
Clin Epidemiol ; 13: 197-206, 2021.
Article in English | MEDLINE | ID: mdl-33732027

ABSTRACT

BACKGROUND: Hypertension and obesity are recognized as modifiable risk factors for stroke, but their combined effects are unknown. This study aimed to explore the combined effects of hypertension and general or central obesity on the risk of ischemic stroke in a middle-aged and elderly population. METHODS: The data of 11,731 participants (53.5 ± 10.5 years old) were analyzed from the Northeast China Rural Cardiovascular Health Study, 2012-2013. General obesity (GO) was defined by body mass index (BMI); central obesity (CO) was measured by waist circumference (WC), waist-to-height ratio (WHtR) and waist-to-hip ratio (WHpR). RESULTS: The overall prevalence of ischemic stroke was 3.1%. After adjusting for age and sex, the odds ratios for having ischemic stroke were 4.31 (3.14-5.91) among subjects with hypertension, 1.79 (1.40-2.30) with GO, 1.94 (1.54-2.43), 1.98 (1.54-2.53), and 1.65 (1.33-2.06) with CO measured by WC, WHtR and WHpR, respectively. After full adjustment for potential confounders, the combinations of hypertension and obesity indices (including BMI, WC, WHtR and WHpR) were associated with the highest risk of ischemic stroke, especially in women, which were respectively 7.3-fold, 9.3-fold, 9.9-fold and 7.6-fold higher than that of individuals without both conditions. CONCLUSION: Our study results suggest that women with both hypertension and obesity, no matter defined by BMI, WC, WHtR or WHpR, were more likely to have ischemic stroke. A better understanding of the combined effects of these risk factors can help promote primary prevention in susceptible subgroups.

4.
Diabetes Metab Syndr Obes ; 14: 1061-1072, 2021.
Article in English | MEDLINE | ID: mdl-33727839

ABSTRACT

PURPOSE: Some studies have established an association between hypertension or obesity and the risk of diabetes. This study aimed to examine the interaction of hypertension and obesity on diabetes. PARTICIPANTS AND METHODS: The data of 11,731 Chinese men and women were analyzed from the 2012-2013 Northeast China Rural Cardiovascular Health Study. The interaction was examined by both additive and multiplicative scales. General obesity was measured by body mass index (BMI); central obesity was defined by waist circumference (WC), waist-to-height ratio (WHtR) and waist-to-hip ratio (WHpR). RESULTS: After controlling for potential confounders, the odds ratios for diabetes were 3.864 (3.205-4.660), 4.500 (3.673-5.514), 4.932 (3.888-6.255) and 4.701 (3.817-5.788) for the combinations of hypertension and BMI, WC, WHtR or WHpR, respectively, which had the highest risk of diabetes among the four combinations. Notwithstanding the multiplicative interactions showed statistically significant in all analyses, the results of additive interactions were not consistent, suggesting the diabetes risk from female BMI (relative excess risk due to interaction (RERI): 1.136, 95% CI: 0.127-2.146, attributable proportion due to interaction (AP): 0.267, 95% CI: 0.057-0.477, synergy index (S):1.536, 95% CI: 1.017-2.321) or female WHpR (RERI: 1.076, 95% CI: 0.150-2.002, AP:0.205, 95% CI: 0.037-0.374, S:1.340, 95% CI: 1.012-1.775) was additive to the risk from hypertension. CONCLUSION: The findings suggest that high BMI and high WHpR have synergistic interactions with hypertension on the risk of diabetes for females. The results of this study also suggest that BMI and WHpR, rather than WC, should be used for the diagnosis of metabolic syndrome in Chinese population.

5.
Postgrad Med ; 133(2): 242-249, 2021 Mar.
Article in English | MEDLINE | ID: mdl-32921215

ABSTRACT

OBJECTIVES: Hyperuricemia is a common metabolic disease that is intimately correlated with inflammation. Our study aimed to investigate the value of systemic inflammation response index as a novel inflammatory marker to estimate hyperuricemia in the rural Chinese population. METHODS: This cross-sectional study used the data of 8,095 Chinese men and women aged ≥35 years from the 2012-2013 Northeast China Rural Cardiovascular Health Study. RESULTS: The overall prevalence of hyperuricemia was 12.84%. After fully adjusting for potential confounders, each SD increase of SIRI in men and women caused a 21.4% and 37.0% additional risk, respectively, for hyperuricemia. Moreover, smooth curve fitting and subgroup analyses corroborated the linearity and robustness of this correlation. ROC analysis showed the ability of SIRI to estimate hyperuricemia was significantly improved in females (0.741 vs 0.745, P = 0.043), but not in males (0.710 vs 0.714, P = 0.105). The net reclassification improvement (NRI, 0.120 in men vs 0.166 in women) and integrated discrimination improvement (IDI, 0.002 in men vs 0.006 in women) showed a significant improvement for both genders. CONCLUSIONS: Our present study suggests a linear and robust relationship between SIRI and prevalent hyperuricemia, which implicates the value of SIRI to optimize the risk stratification and prevention of hyperuricemia.


Subject(s)
Hyperuricemia , Inflammation , Uric Acid/blood , Biomarkers/blood , Cardiometabolic Risk Factors , China/epidemiology , Cross-Sectional Studies , Female , Humans , Hyperuricemia/diagnosis , Hyperuricemia/epidemiology , Hyperuricemia/immunology , Inflammation/blood , Inflammation/epidemiology , Male , Middle Aged , Prevalence , Preventive Health Services/methods , Preventive Health Services/organization & administration , Rural Population , Sex Factors
6.
Lipids Health Dis ; 19(1): 48, 2020 Mar 16.
Article in English | MEDLINE | ID: mdl-32178680

ABSTRACT

BACKGROUND: Monocyte to high-density lipoprotein cholesterol ratio (MHR) is a novel inflammatory marker that has been used to predict various inflammation-related diseases. This study aims to explore the association between MHR and prevalent hyperuricemia in a rural Chinese population. METHODS: 8163 eligible participants (mean age: 54.13 years, males: 45.71%) from northeast China were enrolled in this cross-sectional study between 2012 to 2013. MHR was determined as blood monocyte count ratio to high-density lipoprotein cholesterol concentration. RESULTS: The prevalence of hyperuricemia was 12.86%. After adjusting for potential confounding factors, per SD increase of MHR caused a 25.2% additional risk for hyperuricemia, and the top quartile of MHR had an 82.9% increased risk for hyperuricemia compared with the bottom quartile. Additionally, smooth curve fitting and subgroup analyses showed a linear and robust association between MHR and prevalent hyperuricemia respectively. Finally, after introducing MHR into the established model of risk factors, the AUC displayed a significant improvement (0.718 vs 0.724, p = 0.008). Furthermore, Category-free net reclassification improvement (0.160, 95% CI: 0.096-0.224, P < 0.001) and integrated discrimination improvement (0.003, 95% CI: 0.002-0.005, P < 0.001) also demonstrated significant improvements. CONCLUSIONS: The present study suggests that MHR was positively and independently correlated with prevalent hyperuricemia among rural Chinese adults. Our results also implicate an important value for MHR in optimizing the risk stratification of hyperuricemia.


Subject(s)
Hyperuricemia/metabolism , Lipoproteins, HDL/metabolism , Monocytes/metabolism , Body Mass Index , China , Cross-Sectional Studies , Female , Humans , Male , Prevalence , Risk Factors
SELECTION OF CITATIONS
SEARCH DETAIL
...